Fairseq
Fairseq is a sequence modeling toolkit for training custom models in text generation tasks.
About
Fairseq is a sequence modeling toolkit designed for researchers and developers working with text generation tasks such as translation, summarization, and language modeling. Built using PyTorch, it provides tools for training custom models and evaluating pre-trained ones. The toolkit supports various architectures, including Convolutional Neural Networks, Long Short-Term Memory networks, and Transformer models, making it versatile for different applications in natural language processing.
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Facebookresearch
Publisher of Fairseq
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